Resultado de búsqueda
The {EGAnet} package is the primary source for implementing the Exploratory Graph Analysis (EGA) framework in R. The goal of the package is to provide: state-of-the-art network psychometrics methods. fast, reproducible code. beautiful, publication-ready visualizations. Check out what’s changed in version +2.0.0. How to Install . install ...
The EGAnet package version 2.0.0 (Blue Metallic) is now available on CRAN. You can read about some of the changes in this dedicated Wiki . There's also a Wiki for the new plotting system , and a series of posts about the package on Twitter: some new functions , new stability analysis , and more .
Novedades del sitio Foro. Salta Navegación. Navegación
EGAnet-package Description. Implements the Exploratory Graph Analysis (EGA) framework for dimensionality and psychometric assessment. EGA estimates the number of dimensions in psychological data using network estimation methods and community detection algorithms. A bootstrap method is provided to assess the stability of dimensions and items.
CRAN - Package EGAnet. EGAnet: Exploratory Graph Analysis – a Framework for Estimating the Number of Dimensions in Multivariate Data using Network Psychometrics. Implements the Exploratory Graph Analysis (EGA) framework for dimensionality and psychometric assessment. EGA estimates the number of dimensions in psychological data using network ...
A matrix containing a network estimated using link[EGAnet]{network.estimation} wc: A vector representing the community (dimension) membership of each node in the network. NA values mean that the node was disconnected from the network. n.dim: A scalar of how many total dimensions were identified in the network. correlation: The zero-order ...
EGAnet-package EGAnet-package Description Implements the Exploratory Graph Analysis (EGA) framework for dimensionality and psychome-tric assessment. EGA estimates the number of dimensions in psychological data using network estimation methods and community detection algorithms. A bootstrap method is provided to as-
